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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2015-01-26 10:00 |
Oita | Compal Hall | Finding plural solutions in high dimensional optimization problems using PSO with temporal couplings Kensuke Kimura, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.)  NLP2014-113 |
In the Particle Swarm Optimizer (PSO), the search performances can significantly decrease for high--dimensional optimiza... [more] | NLP2014-113 pp.1-5 |
| NLP | 2014-05-27 10:55 |
Shimane | Big Heart IZUMO | Search of Multiple Solutions and the Number of Solutions by the Particle Swarm Optimizer Takuya Takemura, Takumi Sato, Toshimichi Saito (Hosei Univ.) NLP2014-10 |
This paper studies a particle swarm optimizer for multi-solution problems in the case where the number of solutions is... [more] |
NLP2014-10 pp.47-50 |
| NLP | 2014-05-27 11:20 |
Shimane | Big Heart IZUMO | Solving Performances of PSO Networks with Stochastic Couplings Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-11 |
In this paper, a stochastic coupling network topology is introduced in a particle swarm optimizer network. In the propos... [more] | NLP2014-11 pp.51-56 |
| NC, MBE (Joint) |
2014-03-18 15:20 |
Tokyo | Tamagawa University | A learning method for dynamic binary neural networks using a particle swarm optimizer Romu Nagano, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NC2013-113 |
This paper proposes a new learning algorithm to the dynamic binary neural network (DBNN). The proposed method aims to im... [more] | NC2013-113 pp.145-149 |
| NLP | 2013-07-08 10:25 |
Okinawa | Miyako Island Marine Terminal | A Partial Update PSO for High-Dimensional Optimization Problems Yasumasa Watanabe, Masataka Kojima, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2013-27 |
In the Particle Swarm Optimizer (PSO), the search performances can be significantly reduced for high-dimensional optimiz... [more] | NLP2013-27 pp.5-9 |
| NC, NLP | 2013-01-24 16:20 |
Hokkaido | Hokkaido University Centennial Memory Hall | Insensitive Particle Swarm Optimizers and Application to Exploring Periodic Points Kazuki Maruyama, Toshimichi Saito (Hosei Univ.) NLP2012-119 NC2012-109 |
This paper studies an insensitive particle swarm optimizer (IPSO) for multi-solution problems. The IPSO is governed by... [more] |
NLP2012-119 NC2012-109 pp.87-91 |
| NC | 2012-10-05 11:30 |
Fukuoka | Kyushu Institute of Technology (Wakamatsu Campus) | Effects of Collision and Insensitivity in Particle Swarm Optimizers for Multi-solution Problmes Kazuki Maruyama, Toshimichi Saito (Hosei Univ.) NC2012-52 |
This paper studies flexible particle swarm optimizer for multi-solution problems. The system is governed by deterministi... [more] | NC2012-52 pp.91-96 |
| MBE, NC (Joint) |
2012-03-16 10:40 |
Tokyo | Tamagawa University | Application of Population-based Optimizers to Exploring the Maximum Power Point Masaya Muraoka, Noriaki Mikami, Toshimichi Saito (HU) NC2011-181 |
This paper studies application of population-based optimizers to exploring maximum power points in potovoltaic systems. ... [more] |
NC2011-181 pp.353-358 |
| NLP | 2012-01-23 16:40 |
Fukushima | Aizu-keiko-do Hall | Insensitive Particle Swarm Optimizers and Multi-solution Problems Kazuki Maruyama, Ryosuke Sano, Toshimichi Saito (HU) NLP2011-132 |
This paper presents a novel particle swarm optimizer for multi-solution problems. The algorithm has several characteri... [more] |
NLP2011-132 pp.47-50 |
| NLP | 2011-11-11 10:00 |
Okinawa | Miyako Island Marine Terminal | Evaluation for a forwarding node selection method in wireless sensor networks based on a competitive particle swarm optimizer Yuta Kanamori, Hidehiro Nakano, Akihide Utani, Arata Miyauchi, Hisao Yamamoto (Tokyo City Univ.) NLP2011-112 |
Recently, Wireless Sensor Network (WSN) have been studied with a great amount of interests. In WSN, flooding is required... [more] | NLP2011-112 pp.115-120 |
| CAS, NLP | 2011-10-21 16:55 |
Shizuoka | Shizuoka Univ. | Exploring Maximum Power Point by Particle Swarm Optimization Masaya Muraoka, Toshimichi Saito (HU) CAS2011-61 NLP2011-88 |
This paper studies application of particle swarm potimizers (PSO) to exploring maximum power points (MPP) in potovoltai... [more] |
CAS2011-61 NLP2011-88 pp.163-168 |
| NC, IPSJ-BIO [detail] | 2011-06-24 15:40 |
Okinawa | 50th Anniversary Memorial Hall, University of the Ryukyus | The Search Performance of Particle Swarm Optimizer with Inertia Weight for Solving Multi-objective Optimization Problems Hong Zhang (K.I.T.) NC2011-17 |
In this paper we investigate the search performance of a particle swarm optimizer with inertia weight (PSOIW) for solvin... [more] | NC2011-17 pp.131-136 |
| NC, MBE (Joint) |
2011-03-08 14:10 |
Tokyo | Tamagawa University | The Search Performance of Multiple Particle Swarm Optimizers with Inertia Weight with Diversive Curiosity Hong Zhang (K.I.T.) NC2010-177 |
In this paper we propose a newly multiple particle swarm optimizers with inertia weight with diversive curiosity (MPSOIW... [more] | NC2010-177 pp.295-300 |
| NC, NLP | 2011-01-25 15:00 |
Hokkaido | Hokakido Univ. | A Proposal of Evolutionary Particle Swarm Optimizer with Inertia Weight Hong Zhang (K.I.T.) NLP2010-151 NC2010-115 |
In this paper, we propose an evolutionary particle swarm optimizer with inertia weight (EPSOIW) for obtaining the PSOIW ... [more] | NLP2010-151 NC2010-115 pp.153-158 |
| NLP | 2010-12-13 10:35 |
Tottori | Yonago Convention Center | Discrete Particle Swarm Optimizers for Multi-solution Problems Masafumi Kubota, Toshimichi Saito (HU) NLP2010-114 |
This paper presents a basic discrete particle swarm optimization (DPSO) and considers its capability for niching problem... [more] | NLP2010-114 pp.15-19 |
| NC, MBE (Joint) |
2010-03-10 15:25 |
Tokyo | Tamagawa University | Several Methods of Curiosity-Driven Multi-Swarm Search Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2009-140 |
In this paper, we propose several methods of curiosity-driven multi-swarm search, i.e. multiple particle swarm optimizer... [more] | NC2009-140 pp.309-314 |
| NLP | 2010-03-10 15:50 |
Tokyo | Synthesis of PWM control signals using particle swarm optimizers Kengo Kawamura, Katsuma Ono, Toshimichi Saito (Hosei Univ.) NLP2009-182 |
This paper studies application to particle swarm optimization(PSO) design of switching inverters of pulse width modulati... [more] | NLP2009-182 pp.137-140 |
|
| NC, NLP | 2009-07-14 11:30 |
Nara | NAIST | Growing particle swarm optimizer with a population-dependent parameter Chihiro Kurosu, Toshimichi Saito (Hosei Univ.), Kenya Jin'no (Nippon Inst. of Tech.) NLP2009-32 NC2009-25 |
Particle swarm optimizer with growing structure is considered in this paper. If a particle exploring the optimum is ... [more] |
NLP2009-32 NC2009-25 pp.99-103 |
| NC, MBE (Joint) |
2009-03-12 16:05 |
Tokyo | Tamagawa Univ. | Effects of Canonical Particle Swarm Optimizer with Diversive Curiosity Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2008-137 |
This paper proposes a new method, named Canonical Particle Swarm Optimizer with Diversive Curiosity (CPSO/DC), which is ... [more] | NC2008-137 pp.201-206 |
| CAS, NLP | 2009-01-22 10:35 |
Miyazaki | Growing Tree Particel Swarm Optimizers Eiji Miyagawa, Toshimichi Saito (HU) CAS2008-67 NLP2008-97 |
This paper presents a novel particle swarm optimizer characterized by growing network structure and flexible tree topolo... [more] | CAS2008-67 NLP2008-97 pp.25-28 |
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